Senior Backend Engineer | SpringWater team | LATAM

Your day-to-day

• Build and maintain backend features - APIs, background jobs, integrations. Our stack is Ruby on Rails but if you're strong in Python or TypeScript and willing to learn, that works too.

• Improve and maintain our data pipeline - write reports and queries in PostgreSQL and BigQuery to keep affiliate data (clicks, conversions, commissions, payouts) correct and up to date.

• Build internal dashboards and reports - payout summaries, revenue attribution, cohort breakdowns, etc.

• Fix performance issues - bad queries, slow background jobs, bottlenecks. Keep things running well under load.

• Use AI tools (Claude Code, Cursor) daily to move faster. We care about what you ship, not how many hours you sit.

• Work async with a small team - few meetings, lots of ownership. You ship it, you monitor it.

• Jump in on technical support. We rotate who handles deeper technical help for our CX team - running custom scripts, debugging client-specific issues, or digging into the data when something looks off.

Your skills and experience

• 5+ years of backend engineering experience, with strong proficiency in Ruby on Rails, or solid Python/TypeScript skills with a genuine willingness to learn our stack.

• Strong SQL skills, including writing complex queries, optimizing slow queries, and working with both PostgreSQL and BigQuery in production environments.

• Experience building and maintaining REST APIs and background job systems (e.g., Sidekiq, Celery, or similar), with an understanding of reliability, retries, and failure handling.

• Experience building internal tooling and dashboards - revenue reports, payout summaries, cohort analyses, or similar business-facing data products, ideally tied to financial or affiliate data.

• Async-first, high-ownership work style - comfortable communicating through written updates, making independent decisions, and taking full responsibility for features from build through monitoring.

• Practical experience using AI-assisted development tools (such as Cursor, Claude Code, GitHub Copilot, or similar) as a regular part of the development workflow to increase output quality and speed.

Nice to have:

• Data or analytics engineering background - prior work with data pipelines, event tracking, affiliate/conversion data, or analytics engineering is a meaningful differentiator for this role.

• Familiarity with dbt (data build tool) for building and maintaining data transformation models, or a strong desire to learn it quickly in the context of analytics and reporting.

Benefits for you

• Real impact: High-impact ownership in a small team working closely with leadership - your work is visible, directly shapes growth. You influence decisions and priorities, not just execute tasks.

• Growth ownership: High autonomy over your domain, with the trust and resources to execute well.

• Flexibility: Remote-first setup - work where and how you’re most effective.

• Growth support: Real room to grow, with a learning budget to improve execution.

• Flat structure: Direct access to decision-makers, and the ability to influence direction without layers of approval.

Compensation

Competitive compensation based on your skills and experience.